Description: 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct use of the procedure we will be able to realize short-term power load forecasting, the same used in other types of time series prediction Platform: |
Size: 1024 |
Author:sunyan |
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Description: 短期负荷预测通常是指24小时的日负荷预测和168小时的周负荷预测，本文主要预测的是日平均负荷，对于短期负荷预测-short-term load forecasts usually refers to the 24-hour daily load forecasting and 168 hours a week load forecasting, In this paper, the forecast is the average load, short-term load forecasting Platform: |
Size: 124928 |
Author:钱斌 |
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Description: 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts Platform: |
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Author:bluebowl |
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Description: 本文分析小波神经网络的特点重点研究在电力负荷预测中连续小波神经网络与BP神经网络相比具有的优缺点对认识和应用小波神经网络具有重要意义算例表明在网络结构相同的情况下连续小波神经网络比BP神经网络具有更高的预测精度-wavelet analysis of this neural network research focused on the characteristics of the power load forecasting continuous wavelet neural network and BP Neural networks have their advantages and disadvantages compared to the understanding and application of wavelet neural networks is of great significance example shows the network structure with the continuous wavelet neural network than BP neural network has a higher accuracy of prediction Platform: |
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Author:bluebowl |
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Description: 为提高了短期负荷预测的精度根据季节气候的不同做不同的模糊处理并建立专家处理系统对天气做的模糊处理使预测结果令人满意-to a rise in short-term load forecasting accuracy under different seasonal climate so different fuzzy treatment and the establishment of the Expert Jimmy system for weather so fuzzy treatment made forecasting satisfactory results Platform: |
Size: 61440 |
Author:bluebowl |
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Description: 详细介绍了电力负荷预测，并对其中的一种方法进行阐述-Details of power load forecasting, and one of the methods described Platform: |
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Author:zhuqianjin |
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Description: 船舶电力负荷预测的matlab程序，预测效果比较好，应用的数据可靠。-Ship power load forecasting matlab procedures, the effect of prediction is better, the application of reliable data. Platform: |
Size: 115712 |
Author:betty20006 |
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Description: 短期负荷预测（一种基于小波变换支持向量机的负荷预测程序）-Short-term load forecasting (a kind of wavelet transform based on support vector machine load forecasting procedure) Platform: |
Size: 1024 |
Author:bill |
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Description: BP神经网络用于负荷预测，电价估计等，详细介绍了每一部的作用，还有数据在里面，可以看见结果图。-BP neural network for load forecasting, pricing estimates and other details of each role, there is data in there, you can see the results of Fig. Platform: |
Size: 2048 |
Author:俞小勇 |
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Description: 小波神经网络电力负荷预测,有较强的学习价值和应用价值-Wavelet neural network power load forecasting, there are strong learning value and applied value Platform: |
Size: 3072 |
Author:许诺 |
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Description: 采用小波神经网络进行电力负荷预测,其中wnne为主程序,其他为调用的函数-The use of wavelet neural network for electric load forecasting, which mainly wnne procedures, other function calls Platform: |
Size: 4096 |
Author:费小东 |
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Description: 这是我自己编写的灰色负荷预测程序，需要的可以下载看看。-This is what I have written gray load forecasting procedures, need to see can be downloaded. Platform: |
Size: 1024 |
Author:qiuwei |
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Description: 基于长期负荷预测的线性规划燃机出力能量优化控制-Long-term load forecasting based on linear programming optimization of gas turbine power output control Platform: |
Size: 159744 |
Author:许冬 |
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Description: 基于灰色GM(1,1)理论的电力系统负荷预测程序
-Based on Gray GM (1,1) theory of power system load forecasting procedures Platform: |
Size: 2048 |
Author:liu |
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Description: 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。-first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized Platform: |
Size: 334848 |
Author:NBB |
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Description: 基于组合预测方法的电力负荷预测研究_武岩岩(Research on Power Load Forecasting Based on Combination Forecasting Method) Platform: |
Size: 1608704 |
Author:阿波罗 |
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